Inter-Residue Spatial Distance Map Prediction by Using Integrating Ga with Rbfnn

Author(s): Guang-Zheng Zhang, De-Shuang Huang.

Journal Name: Protein & Peptide Letters

Volume 11 , Issue 6 , 2004

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The spatial ordering information of amino acid residue in protein primary sequence is an important determinant of protein three-dimensional structure. In this paper, we describe a radial basis function neural network (RBFNN), whose hidden centers and basis function widths are optimized by a genetic algorithm (GA), for the purpose of predicting three dimensional spatial distance location from primary sequence information. Experimental evidence on soybean protein sequences indicates the utility of this approach.

Keywords: spatial distance, radial basis function neural network, genetic algorithm, soybean protein, prediction

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Article Details

Year: 2004
Page: [571 - 576]
Pages: 6
DOI: 10.2174/0929866043406283
Price: $65

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